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Gon\c{c}alo Vinagre, Rui Pedro Guerra, Pedro Gomes, Miguel Moura Ramos, Duarte Miguel Alves, Afonso Simpl\'icio, Diogo Tavares, David Semedo, Daniel Gomes, Jo\~ao Magalh\~aes
· 1 min read
ResearcharXiv cs.CL
Fine PT-PT Web: A High-Quality 41 Billion Tokens Data Collection of the European Portuguese Web
arXiv:2609.07699v3 Announce Type: replace
Abstract: Curating Web corpora for regional language variants like European Portuguese (PT-PT) is heavily bottlenecked by dialectal overlap (mainly with PT-BR) and data processing scale. This paper presents an efficient pipeline to curate a production-ready PT-PT corpus from the Portuguese Web, spanning 411 TB of raw data from Arquivo.pt. We introduce a novel post-scraping block that removes boilerplate and line duplicates prior to filtering. This early-stage intervention increases final document yield by 19.04% by rescuing valid text that standard heuristic filters prematurely discard. Integrated with rigorous language identification, weighted fuzzy deduplication, and neural quality classification, our pipeline offers a scalable framework and a clean, representative corpus optimized for LLM pre-training.
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This story was published by arXiv cs.CL and written by Gon\c{c}alo Vinagre, Rui Pedro Guerra, Pedro Gomes, Miguel Moura Ramos, Duarte Miguel Alves, Afonso Simpl\'icio, Diogo Tavares, David Semedo, Daniel Gomes, Jo\~ao Magalh\~aes. SyncAI.news shows a preview; the complete article is on the publisher's site.
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